Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Irwin Huang"'
Autor:
Ahmed Hajr, Bingcheng Qing, Ke Wang, Gerwin Koolstra, Zahra Pedramrazi, Ziqi Kang, Larry Chen, Long B. Nguyen, Christian Jünger, Noah Goss, Irwin Huang, Bibek Bhandari, Nicholas E. Frattini, Shruti Puri, Justin Dressel, Andrew N. Jordan, David I. Santiago, Irfan Siddiqi
Publikováno v:
Physical Review X, Vol 14, Iss 4, p 041049 (2024)
The Kerr-cat qubit is a bosonic qubit in which multiphoton Schrödinger cat states are stabilized by applying a two-photon drive to an oscillator with a Kerr nonlinearity. The suppressed bit-flip rate with increasing cat size makes this qubit a promi
Externí odkaz:
https://doaj.org/article/f27a49ade7f44aba833c29c6fe543e57
Autor:
Yu-Ping Huang, Irwin Huang
Publikováno v:
Journal of Modern Optics. 66:1652-1657
Decoherence and disorder are two major difficulties limiting the performance of quantum systems in practical settings. Yet they can potentially counteract each other to partially restore th...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4483afeabf080312663d8a7386c46e57
https://doi.org/10.1080/09500340.2019.1655598
https://doi.org/10.1080/09500340.2019.1655598
Publikováno v:
Applied optics. 60(14)
We explore an active illumination approach to remote material recognition, based on quantum parametric mode sorting and single-photon detection. By measuring a photon’s time of flight at picosecond resolution, 97.8% recognition is demonstrated by i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca76570d50d008376510823ebf85c0a9
https://pubmed.ncbi.nlm.nih.gov/33983173
https://pubmed.ncbi.nlm.nih.gov/33983173
Publikováno v:
Scopus-Elsevier
We propose and experimentally demonstrate a hybrid system which utilizes a nonlinear mode-selective optical method to extract the features with single-pixel detection and subsequently recognize the high-resolution images from a deep neural network.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5e67ece80faf5ef2af221aade235929
https://doi.org/10.1364/cleo_qels.2021.aw3e.3
https://doi.org/10.1364/cleo_qels.2021.aw3e.3
Publikováno v:
Optics letters. 45(24)
We propose and experimentally demonstrate a nonlinear-optics approach to pattern recognition with single-pixel imaging and deep neural network. It employs mode selective image up-conversion to project a raw image onto a set of coherent spatial modes,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4c1190fa3fe17e9619307851d7626f4
https://pubmed.ncbi.nlm.nih.gov/33325893
https://pubmed.ncbi.nlm.nih.gov/33325893
Publikováno v:
Optics Letters. 46:1848
We present a hybrid image classifier by mode-selective image upconversion, single pixel photodetection, and deep learning, aiming at fast processing a large number of pixels. It utilizes partial Fourier transform to extract the signature features of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ace35b77f69dab09ea442587f7477d94
https://doi.org/10.1364/ol.420388
https://doi.org/10.1364/ol.420388